Kirill Neklyudov

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 142 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kirill Neklyudov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Max Welling
  6. Richard S. Sutton
  7. Yoshua Bengio
  8. Ronald J. Williams
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Kirill Neklyudov overall

  1. Kumar Shridhar
  2. Alessandro Achille
  3. Felix Laumann
  4. Georgios Georgiadis
  5. Stefano Soatto
  6. Eugene Lee
  7. Jiri Hron
  8. Christos Louizos
  9. Bin Dai
  10. Carl Lemaire

Papers from Kirill Neklyudov's perspective

Ordered by how strongly the researchers Kirill Neklyudov trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers